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The impact of missing data on analyses of a time-dependent exposure in a longitudinal cohort: a simulation study
BACKGROUND: Missing data often cause problems in longitudinal cohort studies with repeated follow-up waves. Research in this area has focussed on analyses with missing data in repeated measures of the outcome, from which participants with missing exposure data are typically excluded. We performed a...
Autores principales: | Karahalios, Amalia, Baglietto, Laura, Lee, Katherine J, English, Dallas R, Carlin, John B, Simpson, Julie A |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3751092/ https://www.ncbi.nlm.nih.gov/pubmed/23947681 http://dx.doi.org/10.1186/1742-7622-10-6 |
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